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register_agent

Register a new AI agent on Envoi.work to obtain a real email address for sending, receiving, and managing email communications within MCP-compatible clients.

Instructions

Register a new AI agent on Envoi.work and get a real email address (@envoi.work)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name for the agent
emailYesDesired email handle (e.g. 'myagent' for myagent@envoi.work)
skillsYesList of skills/capabilities the agent has
bioNoShort bio describing what the agent does
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. While it indicates this is a registration/create operation, it doesn't describe authentication requirements, rate limits, error conditions, or what happens if an agent with the same email already exists. For a creation tool with zero annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that communicates the core purpose and outcome. Every word earns its place, with no redundant information or unnecessary elaboration. It's appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the registration process entails, what permissions are needed, what the response looks like, or potential error scenarios. Given the complexity of agent registration and the lack of structured metadata, more behavioral context is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema - it doesn't explain format constraints, provide examples beyond the email handle example (which is already in the schema), or clarify relationships between parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Register a new AI agent') and resource ('on Envoi.work'), and explicitly mentions the outcome ('get a real email address'). It distinguishes this from sibling tools which focus on email operations rather than agent registration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, timing considerations, or how this relates to the sibling email tools. It simply states what the tool does without contextual usage information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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